[HTML][HTML] Cyberbullying on social networking sites: A literature review and future research directions

TKH Chan, CMK Cheung, ZWY Lee - Information & Management, 2021 - Elsevier
Cyberbullying on social networking sites is an emerging societal issue that has drawn
significant scholarly attention. The purpose of this study is to consolidate the existing …

Toxic comment detection in online discussions

J Risch, R Krestel - Deep learning-based approaches for sentiment …, 2020 - Springer
Comment sections of online news platforms are an essential space to express opinions and
discuss political topics. In contrast to other online posts, news discussions are related to …

Hybrid ensemble approaches to online harassment detection in highly imbalanced data

M Tolba, S Ouadfel, S Meshoul - Expert Systems with Applications, 2021 - Elsevier
Online harassment is a major threat to users of social media platforms, especially young
adults and women. It can cause mental illnesses and impacts deeply and negatively …

Generation and influence of eccentric ideas on social networks

S Pandey, Y Cao, Y Dong, M Kim, NG MacLaren… - Scientific reports, 2023 - nature.com
Studying extreme ideas in routine choices and discussions is of utmost importance to
understand the increasing polarization in society. In this study, we focus on understanding …

[PDF][PDF] Cyberbullying Detection and Recognition with Type Determination Based on Machine Learning.

KMO Nahar, M Alauthman, S Yonbawi… - … , Materials & Continua, 2023 - researchgate.net
Social media networks are becoming essential to our daily activities, and many issues are
due to this great involvement in our lives. Cyberbullying is a social media network issue, a …

Detecting troll tweets in a bilingual corpus

L Miao, M Last, M Litvak - … of the Twelfth Language Resources and …, 2020 - aclanthology.org
During the past several years, a large amount of troll accounts has emerged with efforts to
manipulate public opinion on social network sites. They are often involved in spreading …

Author detection: Analyzing tweets by using a Naïve Bayes classifier

R Abascal-Mena… - Journal of intelligent & …, 2020 - content.iospress.com
In the context of digital social media, where users have multiple ways to obtain information, it
is important to have tools to detect the authorship within a corpus supposedly created by a …

Automatic detection of nastiness and early signs of cyberbullying incidents on social media

NS Samghabadi - 2020 - search.proquest.com
Although social media has made it easy for people to connect on an unlimited virtual space,
it has also opened doors to people who misuse it to bully others. Nowadays, abusive …

[HTML][HTML] Playing HAVOK on the Chaos Caused by Internet Trolls

E Martynova, H Golino, S Boker - Research Square, 2023 - ncbi.nlm.nih.gov
Trump supporting Twitter posting activity from right-wing Russian trolls active during the
2016 United States presidential election was analyzed at multiple timescales using a …

Accidental Collectives

S Carta - How Computers Create Social Structures: Accidental …, 2024 - Springer
This chapter presents an insight into how collectives are built around the use of online apps
and social networks. The chapter explores how large collectives emerge as the accidental …